Software is not enough, catalyze your AI journey
Immediately remove friction by aligning your IT and science departments. Leverage our Tetra Catalysts offering, which provides the “connective tissue” between scientific IT and scientists. Increase the value of your Tetra Scientific Data and AI Cloud deployment by 5-10x. Identify how to leverage Scientific AI in your daily work.
Get support by experts with hybrid skills
Take advantage of Tetra Catalysts and our Sciborgs who deliver this unique offering. Let them be the connective tissue in your organization by working as the bridge between your tech/IT teams and your scientists.
Ensure immediate benefits by driving high-impact use cases for scientific data workflows, unlocking the massive latent value in your scientific data. Discover how to improve your daily work and find new insights with Scientific AI. Implementations that leverage Tetra Catalysts will:
Uncover new opportunities for Scientific AI use cases
Help push the limits of scientific outcomes
Be 5-10 x faster by onboarding more use cases during the same time
Develop a well-defined metadata strategy for secondary data reuse
Realize 100% of the value instead of ~25%
Enable users to become more “data conscious"
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What can Tetra Catalysts do for you?
See how other TetraScience customers have leveraged the Tetra Catalysts offering gaining tangible business value.
Reduce wet lab experiments by 50% for ADME/Tox testing
Cut the number of sampling points by half while improving IC50 accuracy
Decrease manual data curation by 1.5 FTE
Develop in silico model in only 5 months
Developed scientific data substrate for “Digital QC” initiative
Enabled AI/ML and predictive analytical capabilities to make QC more efficient
Predict the most promising lead clones in silico
Enable faster and better decision making
Shorten lead clone selection from 5 months to just 1 month
Top 20 Biopharma (US)
25X faster preparation of flow cytometry data, including gating and QC
Automated key lab workflows resulting in >$25M/yr in savings
Enabled ML to reduce clone ranking time by 50%
Top 10 Biopharma (EU)
Developed scientific data substrate for “Digital QC” initiative
Enabled AI/ML and predictive analytical capabilities to make QC more efficient
Top 20 life sciences supplier (EU)
Provided analytics dashboarding for bioprocessing data
Enabled AI for prediction of optimum cell culture media across 12 products, with up to 200 components tested across 80+ conditions
What are Tetra Catalysts?
Sciborgs
Get help from experts in science and data, with a focus on business outcomes. Embed them as connective tissue between tech and science.
Industry best practices
Leverage peer learnings and best practices from the industry across R&D, QC, and manufacturing. Accelerate your journey to AI through a community.
Artifacts
Use a library of reusable tools and templates. Speed scientific use case discovery, design and prioritization.
Scientific AI leadership (SAIL)
Jump start your scientific AI journey, create prototypes, unlock step function changes, and feed prototypes to internal AI and data science teams.
Why Tetra Sciborgs
Drive collaboration between science, data science, and IT
Have a fresh, unbiased, and industry-trained view on scientific data workflows
Ensure science is always embedded in solution design and implementation
Establish consistency and best practices across workflows and teams
Drive a data-centric approach for a data-conscious mindset
Accelerate user adoption and value realization
Identify new scientific use cases with high impact on your business
Discover the potential of AI to improve your everyday work
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Scientific AI Outcomes Factory
Leverage Tetra Catalysts to perform use case discovery, design, and prioritization, as well as architecture review and ROI analysis before formal implementation. Focus on impactful scientific use cases, optimized workflows, analytics, and AI. Ensure surgical investment, reduce overall time and costs, and increase stakeholder buy-in.
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Tetra Catalyst packages
Jumpstart
Small engagement of 30 - 90 days to discover and design up to 2 use cases
Get as-is and to-be diagrams, solution design document, and process maps
Identify the potential of AI for your scientific use cases
Basic
Annual engagement to identify and deploy 4 to 6 use cases
Identify the as-is state, prioritize use cases, and create architecture design
Identify the potential of AI for your scientific use cases
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Advanced
Annual engagement to identify and deploy 8 to 12 use cases
Identify the as-is state, prioritize use cases, and create architecture design
Get additional tailored training content
Discovery and design for 2 AI/ML use cases
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Strategic
Annual engagement to identify and deploy 16 to 20 use cases with Sciborgs dedicated to your team
Identify the as-is state, prioritize use cases, and create architecture design
Get additional tailored training content
Receive quarterly executive reports
Discovery and design for 4 AI/ML use cases
Gary Woo
Sr. Director Digital Platforms, Landmark Bio
Björn Michel
Scientist, Solid Formulations R&D, Merck Life Science KGaA
